双荷电类矢量轻子的衰变

标准模型单态标量粒子Φ是Higgs Portal标量模型的重要组成部分,可与Higgs耦合.Higgs的发现有助于单态标量粒子Φ的研究.增加满足标准模型规范对称性并能和Φ耦合的双荷电类矢量轻子,有助于Φ在LHC或者未来的环形对撞机上的探测.本文在标准模型中加入了一个标准模型单态标量粒子和一个双荷电类矢量轻子二重态,研究了这些双荷电类矢量轻子的衰变.结果表明:双荷电类矢量轻子二重态只与e_R耦合时,这些衰变过程D~-→e~-+h~0(Z~0),Δ~(--)→e~-+W~-和Δ_L~(--)→W~-D_L~(*-)→W~-e_R~-h~0可以发生,其中,D~-→e~-h~0衰变占主要地位.由于D~-和Δ~(--)质量劈裂很小,所以D~-→Δ~-W~+衰变是运动学禁戒的.     

利用人工智能神经网络和DEM数据进行植被变化探测

适时精确的探测土地利用和覆盖变化是研究其起因、过程和效应的基础.本研究利用人工智能神经网络对两景不同时期的影像(2003和2004年)进行一次性变化探测.并且输入层中增加了DEM和坡度两个额外"波段".在选取训练样区的过程中,共选取了82个亚类型,其中36个为植被变化亚类型,46个为无变化植被亚类型.NDVI差值法被用于探测变化和无变化的区域,该方法为获取精确的和足够的植被变化类型训练样区提供有效的参考.研究结果显示利用人工智能神经网络探测变化技术所产生的植被变化图,其精度明显高于分类后比较法所产生的植被变化图精度.此外将DEM和坡度作为额外波段结合两景影像得的8个主成分作为输入层,能够有效的提高人工智能神经网络进行山区植被变化探测精度.同时在选取训练样区的过程中,将各不同的变化和无变化的植被类型根据其不同的光谱特征分成不同的亚类型进行取样,对提高人工智能神经网络进行山区植被变化探测精度有着非常重要的促进作用,此处理可以降低山区影像的地形效应.     

复合金刚石薄膜的介电特性

利用热丝大面积金刚石薄膜气相合成（CVD）装备制备了复合金刚石薄膜，并对其表面和断面分别进行了扫描电镜（SEM），原子力显微镜（AFM）和Raman光谱表征，研究了该复合结构的介电性能，利用共振电路测量了高频下薄膜的介质损耗与频率的关系，结果表明，复合结构由普通多晶金刚石薄膜和纳米金刚石薄膜组成，薄膜的表层结构体现了纳 米金刚石的特征，复合金刚石薄膜不仅具有表面光滑的优点，介电性能也接近于常规的多晶金刚石薄膜，是一种较好的电子材料，可应用于金刚石薄膜半导体器件的制备。     

Genetic studies of diseases

The biological system is a complex physicochemical system consisting of numerous dynamic networks of biochemical reactions and signaling interactions between cellular components. This complexity makes it virtually unanalyzable by traditional methods. Hence, biological networks have been developed as a platform for integrating information from high- to low-throughput experiments for analysis of biological systems. The network analysis approach is vital for successful quantitative modeling of biological systems. The numerous online pathway databases vary widely in coverage and representation of biological processes. An integrated network-based information system for querying, visualization and analysis promised successful integration of data on a large scale. Such integrated systems will greatly facilitate the understanding of biological interactions and experimental verification.     

Exome sequencing of liver fluke-associated cholangiocarcinoma

Opisthorchis viverrini-related cholangiocarcinoma (CCA), a fatal bile duct cancer, is a major public health concern in areas endemic for this parasite. We report here whole-exome sequencing of eight O. viverrini-related tumors and matched normal tissue. We identified and validated 206 somatic mutations in 187 genes using Sanger sequencing and selected 15 genes for mutation prevalence screening in an additional 46 individuals with CCA (cases). In addition to the known cancer-related genes TP53 (mutated in 44.4% of cases), KRAS (16.7%) and SMAD4 (16.7%), we identified somatic mutations in 10 newly implicated genes in 14.8-3.7% of cases. These included inactivating mutations in MLL3 (in 14.8% of cases), ROBO2 (9.3%), RNF43 (9.3%) and PEG3 (5.6%), and activating mutations in the GNAS oncogene (9.3%). These genes have functions that can be broadly grouped into three biological classes: (i) deactivation of histone modifiers, (ii) activation of G protein signaling and (iii) loss of genome stability. This study provides insight into the mutational landscape contributing to O. viverrini-related CCA.